code: def test_run(self):
      with self.test_session() as sess:
          x = Normal(0.0, 0.1)
          x_ph = tf.placeholder(tf.float32, [])
          y = Normal(x_ph, 0.1)
          self.assertLess(sess.run(x), 5.0)
          self.assertLess(sess.run(x, feed_dict={x_ph: 100.0}), 5.0)
          self.assertGreater(sess.run(y, feed_dict={x_ph: 100.0}), 5.0)
          self.assertRaises(tf.errors.InvalidArgumentError, sess.run, y)
  
file_path: edward/tests/models/random_variable_session_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import edward
  import tensorflow
  from edward.models import Normal
label_desc: Use image node_id 2 for calling the test_random_variable_session_class obj's underlying member method code with example usage: obj.test_run() without return types